JP5040637B2 - Evaluator selection device and evaluator selection method - Google Patents

Description

  The present invention relates to an evaluator selection device and an evaluator selection method for selecting an evaluation adopter suitable for design evaluation of a new product or an intermediate product in the middle of development of a new product from a plurality of evaluators.

  Conventionally, designs of new products such as automobiles or intermediate products in the middle of development of new products are evaluated by an evaluation committee that gathers in-house evaluators before actually selling the products, and the evaluation of the designs is tabulated. It is considered to analyze. In addition, it is considered that the evaluation of the design of the intermediate product is used to determine whether or not the subsequent design of the intermediate product is to be greatly modified.

JP 2007-4394 A

  However, in the evaluation of such evaluation meetings, whether or not the evaluator emphasizes the design and whether or not the evaluator performs an evaluation close to the person who actually purchases, that is, the purchaser It is not distinguished whether it evaluates with the same seriousness, ie, interest. For this reason, there is room for improvement in the accuracy of design evaluation.

  In addition, since such a design is evaluated before the product is actually sold, that is, before the product is distributed to the market, the general consumer may have the design evaluated for the product before the sale. difficult.

  On the other hand, Patent Document 1 describes that a product design support apparatus includes a relational modeling processing unit, a sales share prediction processing unit, and a vehicle shape specifying processing unit. The relationship modeling processing unit determines the keywords corresponding to the terms indicating the concept of the existing vehicle, the degree of match of the vehicle with the buyer's image word obtained from the buyer questionnaire, the form factor of the existing vehicle, and the sales share. It is described that the information processing apparatus includes a relational modeling processing unit that formulates a relational model function indicating the causal relation of each piece of information. The sales share prediction processing unit calculates the sales share based on the image word selected by the user of the new vehicle. The vehicle shape identification processing unit extracts a shape element value that greatly contributes to the selected image word, and forms a vehicle shape image according to the shape element value. However, in the case of such a product design support apparatus described in Patent Document 1, it is not considered to select an evaluator having an interest level close to a purchaser who purchases a vehicle. It is not taken into consideration that the selection is made on the condition that importance is placed on. For this reason, there is room for improvement from the viewpoint of improving the evaluation accuracy when evaluating the design of a new product or an intermediate product.

  In addition, the applicant of the present invention measures the behavior of a visitor in a showroom such as a store or an exhibition hall without making him / her aware of it, and correlates it with the subsequent behavior of each visitor (start of negotiation or establishment). We have applied for a patent application regarding an evaluation survey device that identifies and digitizes the observation behavior of a person who can be a customer by analysis (Japanese Patent Application No. 2007-24268). In the case of this evaluation survey device, in the design evaluation of a new product, the evaluator's observation behavior measured by the same mechanism is digitized using these data, and the person who is close to the customer's viewpoint is identified and adopted It is said that the system of design evaluation results can be enhanced by selecting a model or weighting the evaluation results. However, in the case of this evaluation investigation device, it is not determined whether or not the evaluator attaches importance to the design. For this reason, when an evaluator purchases a product such as an automobile, it is not known whether it is close to a purchaser who places importance on the design, and there is still room for improvement in terms of improving the evaluation accuracy of the design. . On the other hand, the inventor of the present invention, when a general consumer considers the purchase of a product such as an automobile, the person who attaches importance to elements other than the design such as price and fuel consumption and the person who attaches importance to the design Therefore, it was considered that there was a difference in the observation behavior of the product, and it was thought that the evaluation accuracy of the design could be further improved by selecting the evaluator based on the observation behavior of the person who emphasizes the design.

  An object of the present invention is to improve the evaluation accuracy when evaluating a design of a new product or an intermediate product before selling the new product in the evaluator selection device and the evaluator selection method.

The evaluator selection device according to the present invention is an evaluator selection device for selecting an evaluation adopter suitable for design evaluation of a new product or an intermediate product in the middle of development of a new product from a plurality of evaluators, Design-focused person selection section that selects design-focused persons who place emphasis on designs from a plurality of survey subjects related to the design, observation behavior for existing products for each design-focused person, and existing for each design-oriented person From the purchase behavior of the product, the weight of the interest level of the existing product is weighted to the observation behavior, and the correlation determination unit that determines the correlation between the interest level and the observation behavior, and the new product or each evaluator An interest level estimation unit that estimates the level of interest of the evaluator's new product or intermediate product based on the observation behavior of the intermediate product and the correlation determined by the correlation determination unit, and the evaluator's interest Height estimation There evaluation adopters selecting unit for selecting an evaluation hires is preset threshold or more, according to predefined criteria observed behavior for an existing product design emphasis's design for storing in association with each design emphasis's Emphasizing person observation behavior storage unit, design emphasizing person purchasing behavior storage unit that stores purchasing behavior of design emphasizing person for existing products in association with each design emphasizing person according to predetermined criteria, and new evaluation by multiple evaluators An evaluator observation behavior storage unit that stores observation behavior for products or intermediate products for each evaluator according to a predetermined criterion, and the correlation determination unit is provided for each design-oriented person from the design-oriented person observation behavior storage unit. Read the observation behavior, read the purchase behavior from the design-oriented person purchase behavior storage section for each design-oriented person, observe the behavior associated with each design-oriented person, and purchase corresponding to each design-oriented person The weight of the interest level of the existing product is weighted with respect to the observation behavior, and the correlation between the interest level and the observation behavior is determined, and the interest level estimation unit evaluates the evaluator for each evaluator. An evaluator selection device that estimates an interest level estimation value of a new product or an intermediate product based on the observation behavior read from the observation behavior storage unit and the correlation determined by the correlation determination unit. is there.

  Further, in the evaluator selection device according to the present invention, preferably, the survey subject observation behavior memory for storing the survey behavior of the plurality of survey subjects on the existing products in association with each survey subject in accordance with a predetermined standard. From the survey target purchase behavior storage unit and the survey target observation behavior storage unit that store the corresponding behavior for each survey target in accordance with a predetermined standard for the purchase behavior for the existing products of a plurality of survey targets, A design-oriented person observation behavior extraction unit that reads out the observation behavior associated with each design-oriented person corresponding to the design-oriented person selected by the design-oriented person selection unit and stores it in the design-oriented person observation behavior storage unit, and the survey target The purchase behavior associated with each design-oriented person corresponding to the design-oriented person selected by the design-oriented person selecting part is read from the person-oriented purchasing behavior storage part, and the design-oriented person purchasing action storage part Comprising the design emphasis's purchasing behavior extracting unit to be stored, the.

Further, in the evaluator selection device according to the present invention, preferably, it comprises a purchase emphasis point storage unit for storing the purchase emphasis point of the survey subject for each survey subject,
The design-oriented person selecting section selects only the survey object person corresponding to the important point related to the design from the investigation object persons among the purchase important points stored in the purchase-oriented point storage section.

  More preferably, the purchase emphasis point storage unit is based on at least one of the contents filled in the questionnaire for the existing product of the survey subject and the display time of the specific information of the product information display unit that displays the existing product information. The important points for each survey target person are stored.

  In the evaluator selection device according to the present invention, preferably, the new product is a vehicle, and a plurality of observation behaviors stored in the design-oriented person observation behavior storage unit and a plurality of observation behaviors stored in the evaluator observation behavior storage unit. The plurality of observation behaviors include at least one behavior of whether or not the design-oriented person opens and closes the door of the vehicle and whether or not the vehicle gets on the vehicle. .

  In the evaluator selection device according to the present invention, preferably, the evaluation product of the new product or intermediate product is evaluated based on the evaluation of the design of the new product or intermediate product evaluated by the evaluation employer selected by the evaluation employer selection unit. A design pass / fail judgment unit for judging pass / fail of the design is provided.

The evaluator selection method according to the present invention includes a design-oriented person selecting unit, a correlation determining unit, an interest level estimating unit, an evaluation adopter selecting unit, a design-oriented person observation behavior storage unit, and a design-oriented person purchasing behavior storage unit. And an evaluator selection device comprising an evaluator observation behavior storage unit, and an evaluator who selects an evaluation employer suitable for design evaluation of a new product or an intermediate product in the middle of development of a new product from a plurality of evaluators. A method for selecting a design-oriented person who places importance on a design in accordance with a predetermined standard from a plurality of survey subjects related to an existing product by a design-oriented person selecting section, and a correlation determining section that places importance on the design. From the observation behavior for the existing product for each person and the purchase behavior for the existing product for each person who emphasizes the design, the degree of interest of the existing product is weighted to the observation behavior, and the correlation between the high interest level and the observation behavior Engineering to determine the relationship When, by the degree of interest height estimating section, and the observation action for new products or intermediate products for each evaluator, based on the correlation determined by the correlation determining step, evaluators of new products or intermediate products interest High The process of estimating the evaluation, the evaluation employer selection unit, from the evaluator , selecting the evaluation employer whose estimated interest level is equal to or greater than a preset threshold, and the design-oriented person observation behavior storage unit , The process of storing the observation behavior of the design-oriented person on the existing product in accordance with a predetermined standard and storing it in correspondence with each design-oriented person and the design-oriented person purchasing behavior storage unit In accordance with a predetermined standard, the process of storing in association with each design-oriented person, and the evaluator observation behavior storage unit, the observation behavior of a plurality of evaluators on new products or intermediate products is A step of storing for each evaluator according to the determined criteria, and the step of determining the interrelationship by the correlation determination unit reads the observation behavior stored in the design-oriented person observation behavior storage unit for each design-oriented person, For each design-oriented person, the purchase behavior stored in the design-oriented person purchase behavior storage unit is read out, and the observation behavior that corresponds to each design-oriented person and the purchasing behavior that corresponds to each design-oriented person The process of weighting the interest level of existing products, determining the correlation between the interest level and observation behavior, and estimating the interest level by the interest level estimation unit is evaluated for each evaluator. Based on the observation behavior read from the observation behavior stored in the person observation behavior storage unit and the correlation determined by the correlation determination unit to estimate the estimated interest level of the new product or intermediate product Evaluator selection method It is.

In the evaluator selection method according to the present invention, preferably , the observation subject observation behavior storage unit associates the observation behavior of the plurality of survey subjects with respect to the existing products for each survey subject according to a predetermined criterion. A process for storing the information, a process for storing the purchase behavior for the existing products of the plurality of survey subjects in association with each survey subject according to a predetermined standard, and a survey subject A step of reading out the observation behavior associated with each design-oriented person corresponding to the design-oriented person selected by the design-oriented person selecting unit by the design-oriented person observation behavior extracting unit from the observation behavior stored in the observation behavior storage unit If, from the purchase behavior stored in surveyed purchasing behavior storage unit, the design emphasis's purchasing behavior extracting unit corresponds to the design emphasis who are selected in the design emphasis's selection section, the design And a step of reading the purchasing behavior that correlates to the viewer, the.

Further, in the evaluator selection method according to the present invention, preferably, the purchase emphasis point storage unit includes a step of storing the purchase emphasis point of the survey subject for each survey subject, and the design emphasis designator selection unit emphasizes the design. In the process of selecting a person, only a person to be surveyed corresponding to an important point related to the design is selected as a person who emphasizes the design from among the persons to be investigated among the important points of purchase stored in the point-of-purchase storage unit .

Preferably, the step of storing the purchase emphasis point by the purchase emphasis point storage unit includes the content of the questionnaire for the existing product of the survey subject and the display time of the specific information of the product information display unit displaying the existing product information The importance points for each survey subject determined based on at least one of the above are stored.

In the evaluator selection method according to the present invention, preferably, the new product is a vehicle, and a plurality of observation behaviors stored in the step of storing the observation behavior by the design-oriented person observation behavior storage unit, and the evaluator observation behaviors The plurality of observation behaviors stored in the step of storing the observation behavior by the storage unit are the same, and further, the plurality of observation behaviors indicate whether or not the design-oriented person has opened and closed the vehicle door, and It includes at least one action of whether or not the user has boarded.

Further, in the evaluator selection method according to the present invention, preferably, based on the evaluation of the design of the new product or the intermediate product evaluated by the evaluation employer selected in the process of selecting the evaluation employer by the evaluation employer selection unit. The design quality determination unit includes a step of determining the quality of the design of the new product or the intermediate product.

  According to the evaluator selection device and the evaluator selection method according to the present invention, a design-oriented person who emphasizes a design is selected from a plurality of survey subjects according to a predetermined standard, and an existing product is observed for each design-oriented person. From the behavior and purchasing behavior, the correlation between the high interest level of the existing product and the observation behavior is determined, and the interest level of the new product is determined based on the observation behavior of the new product or intermediate product for each evaluator and this correlation. Since the height is estimated and the evaluation employer is selected from the evaluator, an evaluator close to the person who purchases the product with an emphasis on the design can be selected as the evaluation employer. For this reason, based on the observation behavior of people who place emphasis on design, it is possible to select a more suitable evaluation employer for design evaluation, and evaluate the design of a new product or intermediate product before selling the new product. It is possible to improve the evaluation accuracy when doing so.

  Hereinafter, embodiments according to the present invention will be described in detail with reference to the drawings. 1 to 10 show an example of an embodiment of the present invention. FIG. 1 is a block diagram illustrating an evaluation survey apparatus that is an evaluator selection apparatus according to the present embodiment. FIG. 2 is a block diagram illustrating in detail the configuration of the processing unit and the storage unit that configure the evaluation survey apparatus of FIG. 1. FIG. 3 is a diagram showing in detail the components of the processing unit and the storage unit in FIG. FIG. 4 is a diagram for explaining two examples of the visitor purchase emphasis point specifying means constituting the evaluation survey apparatus of FIG. FIG. 5 is a diagram illustrating a method for selecting a design-oriented person from the purchase-oriented points stored by the visitor purchase-oriented point storage unit. FIG. 6 is a diagram showing a surrounding area where products are arranged, which is an object to be evaluated by the evaluation investigation apparatus in FIG. 1. FIG. 7 is a diagram illustrating an example of a hardware configuration of the evaluation investigation device in FIG. 1. FIG. 8 is a flowchart showing an evaluation investigation method, which is an evaluator selection method according to the present embodiment. FIG. 9 is a diagram illustrating an example of purchase behavior and observation behavior stored in association with each visitor. FIG. 10 is a diagram illustrating an example of a method for obtaining a correlation from purchase behavior and observation behavior. FIG. 11 is a diagram quantifying the degree of interest (closeness to the purchaser) of the evaluator's target product. In this embodiment described below, the object of evaluation is a new vehicle that is a new product before sales, and the evaluator and the evaluation adopter are used by the manufacturer or the like who develops the new vehicle. Participants who participated in the design evaluation meeting. Further, the survey target is an existing vehicle that is an existing product, and the survey target is a visitor who has visited a dealer of an existing vehicle or an exhibition showroom. However, the evaluation target may be a vehicle under development that is an intermediate product in the middle of development of a new model vehicle. Further, the evaluation target, the evaluator and the evaluation employer, the survey target, and the survey target person are not limited to such a range.

  As shown in FIG. 1, an evaluation survey apparatus 10, which is an evaluator selection apparatus of the present embodiment, includes a computer 12 and selects an evaluation employer suitable for design evaluation of a new model vehicle from a plurality of evaluators. . For this purpose, the evaluation investigation device 10 includes a processing unit 14 that is a calculation unit, an input unit 16 such as a keyboard and a mouse, a display such as a CRT and LCD, an output unit 18 such as an audio output unit such as a speaker, and a storage. Part 20. As illustrated in FIG. 2, the processing unit 14 includes a CPU, a memory, and the like. The design-oriented person selecting unit 22, the design-oriented person observation behavior extracting unit 24, and the design-oriented person purchasing behavior extracting unit 26 are correlated. Unit 28, purchase probability estimation unit 30 that is an interest level estimation unit, evaluation employer selection unit 32, and design quality determination unit 34. The storage unit 20 is configured by a hard disk drive device (HDD device) or the like, and the visitor purchase emphasis point storage unit 36, the visitor observation behavior storage unit 38, the visitor purchase behavior storage unit 40, and a design-oriented person. An observation behavior storage unit 42, a design-oriented person purchase behavior storage unit 44, a correlation storage unit 46, an evaluator observation behavior storage unit 48, and an evaluator design evaluation storage unit 50 are provided. Note that the memory of the processing unit 14 may have the function of the storage unit 20.

  Next, the configuration of the processing unit 14 and the storage unit 20 will be described in detail with reference to FIG. The visitor purchase emphasis point storage unit 36 included in the storage unit 20 (FIG. 2) stores the purchase emphasis points of visitors to an exhibition hall such as a store of an already-sold vehicle or a showroom, which is a survey target, for each visitor. To remember. In addition, the design-oriented person selecting unit 22 included in the processing unit 14 (FIG. 2) is a predetermined standard from a plurality of visitors related to the sold vehicles, that is, a plurality of visitors to the exhibition hall of the sold vehicles. A design-oriented person who places importance on the design is selected. That is, the design-oriented person selecting unit 22 selects only the visitors who correspond to the important points related to the design from among the purchase-oriented points stored in the visitor purchase-oriented point storage unit 36 from the visitors as design-oriented persons. Select.

  In addition, the visitor observation behavior storage unit 38 stores the observation behavior of a plurality of visitors on the sold vehicles in association with each visitor according to a predetermined standard. In addition, the design-oriented person observation behavior extraction unit 24 reads from the visitor observation behavior storage unit 38 the observation behavior associated with each design-oriented person corresponding to the design-oriented person selected by the design-oriented person selection unit 22. The design-oriented person observing behavior storage unit 42 stores it. That is, the design-oriented person observation behavior storage unit 42 stores the observation behavior of the design-oriented person with respect to the already-sold vehicle in association with each design-oriented person according to a predetermined standard.

  Moreover, the visitor purchase action memory | storage part 40 matches and memorize | stores the purchase action with respect to the already sold vehicle of a some visitor according to the predetermined reference | standard. Further, the design-oriented person purchase behavior extracting unit 26 reads, from the visitor purchase behavior storage unit 40, the purchase behavior associated with each design-oriented person corresponding to the design-oriented person selected by the design-oriented person selecting unit 22. , And store it in the design-oriented person purchase behavior storage unit 44. That is, the design-oriented person purchase behavior storage unit 44 stores the purchase behavior of the design-oriented person with respect to the already-sold vehicle in association with each design-oriented person according to a predetermined standard.

  The correlation determination unit 28 reads the observation behavior from the design-oriented person observation behavior storage unit 42 for each design-oriented person, reads the purchasing behavior from the design-oriented person purchase behavior storage unit 44 for each design-oriented person, and each design-oriented person From the observation behavior and the purchase behavior associated with each other, the high interest level of the sold vehicle is weighted with respect to the observation behavior, and the correlation between the high interest level and the observation behavior is determined. The correlation storage unit 46 stores data representing weighting and correlation.

  In addition, the evaluator observation behavior storage unit 48 uses a predetermined standard for the observation behavior of a plurality of evaluators participating in the design evaluation meeting for a new vehicle before sales, for example, an employee of a new vehicle development manufacturer, with respect to the new vehicle. Therefore, it is stored in association with each evaluator. Further, the purchase probability estimation unit 30 reads the observation behavior from the evaluator observation behavior storage unit 48 for each evaluator, and based on the read observation behavior and the correlation determined by the correlation determination unit 28, the interest of the new vehicle The degree of purchase is estimated, and the purchase probability corresponding to the high degree of interest is estimated. In addition, the evaluator design evaluation storage unit 50 stores design evaluation for the target new model vehicle, for example, either pass or fail in association with each evaluator.

  In addition, the evaluation employer selection unit 32 determines that the purchase probability estimated value estimated by the purchase probability estimation unit 30 is greater than or equal to a preset threshold value from the evaluator, that is, the interest level estimation value is preset. An evaluator who is at least another threshold is selected as an evaluation employer. In addition, the design quality determination unit 34 determines the quality of the design of the new vehicle based on the evaluation of the design of the new vehicle evaluated by the evaluation employer selected by the evaluation employer selection unit 32, and outputs the design of the output unit 18 ( The determination result is displayed in FIG. The output unit 18 can also display the purchase rate for each visitor and the purchase probability estimate for each evaluator and evaluation employer.

  Returning to FIG. 1, the computer 12 also includes a visitor purchase emphasis point specifying unit 52, a visitor observation behavior specifying unit 54, a visitor purchase behavior specifying unit 56, an evaluator observation behavior specifying unit 58, and an evaluation. The designer design evaluation specifying means 60 is connected by an external line so that data from the respective means 52, 54, 56, 58, 60 can be input to the computer 12. The visitor purchase emphasis point specifying means 52 is used when, for example, another second computer having a questionnaire display section and an input section that allows an answer to be input, or at the time of a business negotiation for a sold vehicle. And another third computer. Data from one or both of the second computer and the third computer can be input to the computer 12. The second computer stores the answer and each visitor in association with each other, specifies the purchase priority point of the visitor, and inputs it to the computer 12. FIG. 4A shows a questionnaire display screen for business negotiations / contractors displayed on the display unit 62 of the second computer as an example of a questionnaire display screen. In the example shown in the figure, for example, “style”, “displacement”, “economic”, and “vehicle price” related to the design are displayed in response to a question about what is important, and the respondent is a mouse By using an input unit such as a keyboard, a desired item field can be marked with a circle. Note that the input unit can be a touch panel provided on the display so that the respondent touches a desired item column so that the mark can be marked. Based on such an input, the second computer stores the purchase priority points marked with a circle associated with the visitors and inputs them to the computer 12 (FIG. 1).

  FIG. 4B shows an example of the third computer 64 used during the negotiation in the order of display. The display order can be any order, and is not limited to the order shown in FIG. The third computer 64 displays each item of information on already-sold vehicles, such as “style-related”, “displacement”, “price”, etc., which are displayed at the time of negotiations, etc. related to the design for exterior option examination, etc. The information is displayed on the product information display unit 66, and the display time for each item is stored as a negotiation history. And the 3rd computer 64 memorize | stores the item which is specific information with a long display time as a purchase important point matched with the visitor, and inputs it into the computer 12 (FIG. 1). The third computer 64 can change the display in response to the user input. In FIG. 4B, the time shown below the third computer 64 is an example of the display time of each item.

  Note that the second computer and the third computer 64 may be different from each other, or may be in common with each other. In addition, a user manually inputs an answer corresponding to each visitor, which is entered by a visitor on a questionnaire form as a questionnaire, from the input unit 16 of the computer 12 (FIG. 1), and the purchase priority point of the visitor is determined. It can also be specified. Further, as a computer that uses the computer 12 at the time of business negotiation, the display time of each item at the time of business negotiation can be stored, and an item with a long display time associated with a visitor can be specified as a purchase emphasis point. In this case, it is possible to reduce or eliminate the visitor purchase priority point specifying means 52 (FIG. 1) provided separately from the computer 12.

  The visitor purchase emphasis point storage unit 36 included in the storage unit 20 shown in FIG. 2 is as described above with respect to the contents of the questionnaire regarding the sold vehicles that were entered in the questionnaire at the time of business negotiation or closing of the sold vehicles of the visitors. The point of importance for each visitor obtained based on at least one of the display times of specific information such as the product information display unit 66 (FIG. 4) for displaying the sold vehicle information is stored.

  FIG. 5 shows a tabulation result of purchase priority points for each visitor stored in the visitor purchase priority point storage unit 36 (FIGS. 2 and 3). The circles in FIG. 5 represent purchase priority points. Each visitor is identified by a visitor ID, which is an identification number, and is given a visitor ID of P01, P02, P03.

  The design-oriented person selecting unit 22 shown in FIGS. 2 and 3 selects, for example, a visitor with a circle in the “style” column related to the design in FIG. 5 as a design-oriented person. In the example of FIG. 5, visitors of P01 and P04 correspond to design-oriented persons.

  In addition, the visitor observation behavior storage unit 38 (FIGS. 2 and 3) identifies and digitizes the observation behavior of the visitors who have visited the exhibition hall, for example, on the sold vehicles. For example, the total number of visitors walking, the average staying time of the exhibition hall, whether or not the door of the sold vehicle that is the subject of the survey is open or closed, whether or not you get on, whether or not each operation device in the vehicle is in contact, Action patterns such as operation history information are digitized so that they can be associated with each visitor and identified. In addition, as shown in FIG. 6, for example, the area around the vehicle 68 as a product is divided into a plurality of areas A01 to A16 according to the direction and distance, and the behavior pattern indicating how long visitors have stayed in which area is shown. Digitize. For example, by staying in areas A01, A02, A08, A09, A10, and A06 for a long time, it is assumed that the vehicle 68 is interested in the front part, and can be identified by quantifying in the category “I am interested in the front part” It can also be.

  In this case, for example, the visitor observation behavior specifying means 54 in FIG. 1 specifies such observation behavior. For example, the visitor observation behavior specifying unit 54 takes an image with an ID tag attached to a clipboard or a pen, a sensor attached to a floor of an exhibition hall, a camera such as a video camera, and processes an image obtained by the imaging by image processing. It consists of devices, etc., so that visitors' behavior patterns can be automatically investigated and recognized. The recognition result is specified by digitization and input to the computer 12 (FIG. 1) from the visitor observation behavior specifying means 54, and the visitor observation behavior storage unit 38 (FIGS. 2 and 3) is provided for each visitor. It is memorized as an associated observation behavior. For example, the visitor observation behavior storage unit 38 stores the observation behavior in association with the visitor ID assigned to each visitor. Further, the visitor observation behavior specifying means 54 is, for example, a touch panel type questionnaire device installed in an exhibition hall, and a visitor ID is attached to each visitor, and a questionnaire can be answered while inputting the visitor ID. You can also

  Also, the visitor purchase behavior specifying means 56 in FIG. 1 determines whether or not the visitor has made a business negotiation, asks the staff, or takes an action indicating purchase intention such as requesting an evaluation table or catalog, The purchase behavior, such as whether or not the business negotiation has been started, whether or not the business negotiation has been established, that is, whether or not the purchase has been decided, can be identified numerically by attaching a visitor ID, for example. Then, the purchase behavior associated with each visitor is input to the computer 12 (FIG. 1) from the visitor purchase behavior specifying means 56, and the visitor purchase behavior specifying means 56 performs the purchase behavior associated with each visitor. Remember. For example, the visitor purchase behavior storage unit 40 (FIGS. 2 and 3) stores the purchase behavior in association with the visitor ID assigned to each visitor.

  In addition, the evaluator observation behavior storage unit 48 (FIGS. 2 and 3), for example, the observation behavior of the evaluator who participated in the evaluation meeting for the design of the new vehicle inside the manufacturer developing the new vehicle, for the new vehicle. Is identified and digitized. For example, the evaluator observation behavior storage unit 48, like the visitor observation behavior storage unit 38, evaluates the total number of walks of the evaluator, the average staying time at the evaluation venue, whether or not the door of the new vehicle to be evaluated is opened or closed, or contact The behavior patterns such as the presence / absence of the vehicle, whether the vehicle has been boarded, the presence / absence of contact of each operation device in the passenger compartment, and the operation history information are associated with each evaluator and digitized so that they can be identified. Similarly to the case shown in FIG. 6, the behavior pattern of how long the new vehicle stays in a plurality of areas can be digitized according to the direction and distance.

  Also, the evaluator observation behavior specifying means 58 in FIG. 1 is, for example, the same as the above-described visitor observation behavior specifying means 54, an ID tag attached to a clipboard or a pen, a sensor attached to the floor of the exhibition hall, a video camera, etc. It is comprised by the apparatus etc. which process the image obtained by imaging | photography, and process the image obtained by imaging | photography, so that an evaluator's action pattern can be investigated automatically and recognized. The recognition result is specified by digitization and input to the computer 12 (FIG. 1) from the evaluator observation behavior specifying means 58, and the evaluator observation behavior storage unit 48 (FIGS. 2 and 3) is provided for each evaluator. It is memorized as an associated observation behavior. For example, the evaluator observation behavior storage unit stores the observation behavior in association with P01A, P02A... (See FIG. 10), which are evaluator IDs assigned to the evaluators. Further, the evaluator observation behavior specifying means 58 is, for example, a touch panel type questionnaire device installed in an exhibition hall, and an evaluator ID is attached to each evaluator, and the questionnaire can be answered while inputting the evaluator ID. You can also In addition, the plurality of observation behaviors stored in the design-oriented person observation behavior storage unit 42 and the plurality of observation behaviors stored in the evaluator observation behavior storage unit 48 are the same, and the plurality of observation behaviors are design-oriented people. It can also include one or both actions of whether or not the vehicle has opened and closed the vehicle door and whether or not the vehicle has been boarded.

  Further, the evaluator design evaluation specifying means 60 shown in FIG. 1 makes it possible to input the design evaluation for the new vehicle evaluated by the evaluator in association with each evaluator, and the input result is input to the computer 12 (FIG. 1). And stored in the evaluator design evaluation storage unit 50.

It should be noted that the visitor observation behavior specifying means 54, the visitor purchase behavior specifying means 56, the evaluator observation behavior specifying means 58, and the evaluator design evaluation specifying means 60 in FIG. It is possible to input the visitor observation behavior, the visitor purchase behavior, the evaluator observation behavior, and the evaluator design evaluation into the corresponding storage unit by inputting to the computer 12 (FIG. 1) through the input unit 16. .

  Further, at least some of the functions of the visitor observation behavior specifying means 54, the visitor purchase behavior specifying means 56, the evaluator observation behavior specifying means 58, and the evaluator design evaluation specifying means 60 are performed by the computer 12 (FIG. 1). ). For example, an image of a video camera that captures the observation behavior of a visitor to the showroom is input to an observation behavior processing unit (not shown) that constitutes the computer 12, and the observation behavior processing unit performs image processing based on this input. Then, it is possible to specify the position and behavior of the visitors, digitize the identified results, and store them in the visitor observation behavior storage unit 38 (FIGS. 2 and 3) in association with each visitor.

  In addition, the observation behavior of the visitors to the showroom, the ID tag attached to the clipboard or pen, and the output signal of the sensor attached to the floor of the exhibition hall are used as an observation behavior processing unit (not shown) constituting the computer 12 (FIG. 1). And the observation behavior processing unit identifies the position and behavior of the visitor based on this input, digitizes the identified result, and stores it in the visitor observation behavior storage unit 38 (FIGS. 2 and 3). It can also be stored for each visitor. Similarly, the evaluator's observation behavior can be processed using the observation behavior processing unit and stored in the evaluator observation behavior storage unit 48 (FIGS. 2 and 3).

  Such an evaluation survey apparatus 10 can be configured by hardware as shown in FIG. 7 as an example. That is, the evaluation investigation device 10 includes a CPU 70, a ROM 72, and a RAM 74, and is configured by computers connected to each other via a bus 76. An input / output interface 78 is also connected to the bus 76. The input unit 16, the output unit 18, the storage unit 20, the communication unit 80, and the drive 82 are connected to the input / output interface 78. The communication unit 80 includes a modem, a terminal adapter, and the like.

  Further, the CPU 70 executes various processes according to various programs constituting the software module stored in the ROM 72 or various programs constituting the software module read out from the storage unit 20 to the RAM 74. For example, the CPU 70 shown in FIG. 2 has a design-oriented person selecting unit 22, a design-oriented person observation behavior extracting unit 24, a design-oriented person purchasing behavior extracting unit 26, a correlation determining unit 28, and a purchase probability estimating unit according to the present embodiment. 30, each process of the evaluation employer selection unit 32 and the design pass / fail determination unit 34, for example, the observation behavior and purchase behavior of the visitors are quantified, the correlation between the observation behavior and the purchase behavior is obtained, and the evaluator's observation behavior is determined. Each process such as digitization or estimation of purchase probability from the evaluator's observation behavior is executed. In the RAM 74 shown in FIG. 7, data necessary for the CPU 70 to execute various processes can be appropriately stored. For example, the RAM 74 has a visitor purchase emphasis point storage unit 36, a visitor observation behavior storage unit 38, a visitor purchase behavior storage unit 40, a design-oriented person observation behavior storage unit 42, and a design-oriented person purchase behavior memory shown in FIG. Each data of the unit 44, the correlation storage unit 46, the evaluator observation behavior storage unit 48, and the evaluator design evaluation storage unit 50 can also be stored.

  Returning to FIG. 7, the communication unit 80 performs communication processing via the Internet (not shown), transmits data provided from the CPU 70, and receives data received from the communication partner, such as the CPU 70, the RAM 74, the ROM 72, and the storage unit 20. Output to. The storage unit 20 inputs / outputs data from / to the CPU 70, and stores and deletes information. The communication unit 80 performs communication processing of analog signals or digital signals with other devices.

  A drive 82 is connected to the input / output interface 78 as necessary, and a magnetic disk 84, an optical disk 86, a flexible disk 88, a semiconductor memory 90, or the like is appropriately mounted, and a computer program read from these is loaded as necessary. Installed in the storage unit 20.

  Next, a method for selecting an evaluation employer for a new vehicle based on the product observation behavior of a visitor to a showroom, which is an exhibition hall for an already-sold vehicle, will be described with reference to the flowchart of FIG. In the following description, the same components as those shown in FIGS. 1 to 3 are denoted by the same reference numerals. As shown in FIG. 8, in step 1, for example, the visitor observation behavior specifying means 54 is configured by an ID tag, a sensor attached to the floor of the showroom, a camera, etc., for example. It is specified, and it is digitized and stored in the visitor observation behavior storage unit 38 in association with each visitor. As described above, an ID tag, an output signal of a sensor, and an image from a camera are input to an observation behavior processing unit that constitutes the computer 12, and based on this input, the observation behavior is quantified and a visitor observation is performed. It can also be stored in the action storage unit 38. That is, a visitor observation behavior storage step is performed in which observation behaviors of a plurality of visitors to a sold vehicle are stored in association with each visitor according to a predetermined standard.

  In such step S1, each visitor's behavior pattern is associated with the visitor ID such as P01, P02, etc. assigned to each visitor as shown in FIG. Stored in the person observation behavior storage unit 38. Further, X01, X02,... Are given as variables of each pattern.

  Further, in step S2, for example, the purchase behavior of each visitor, for example, the start or purchase of a negotiation, that is, the contract is stored in the visitor purchase behavior storage unit 40 in association with each visitor. Purchasing behavior includes, for example, whether or not the business has been negotiated, whether or not the staff has been questioned, whether or not an action indicating purchase intention such as requesting a price list or a catalog has been taken, whether or not the business has been concluded, etc. Can also be included. The purchase behavior is digitized in association with each visitor, and stored in the visitor purchase behavior storage unit 40 provided in the storage unit 20 in association with the visitor ID. In other words, a visitor purchase behavior storing step is performed in which purchase behaviors of a plurality of visitors to the sold vehicles are stored in association with each visitor according to a predetermined standard. For example, in the visitor purchase behavior storage step, as shown in FIG. 9, a case where there is a business negotiation or a contract is associated with the visitor ID is indicated by a circle, and the other cases are indicated by a cross. When such purchase behavior is digitized, it can be digitized, for example, with a circle mark of 1 and a cross mark of 0.

  Next, in step S3 of FIG. 8, as shown in FIG. 5 above, the purchase emphasis point indicating what the visitor places importance on when purchasing behavior of the visitor, for example, purchase or purchase consideration, is set. , Perform the purchase emphasis point storage process that is specified and memorized for each visitor, and then visitor who corresponds to the emphasis point related to the design among the purchase emphasis points stored in the purchase emphasis point storage process For example, a design-oriented person selecting process is performed in which only visitors who place importance on “style” in FIG. 5 are selected as design-oriented persons. That is, in the design-oriented person selection step, a design-oriented person who places importance on the design is selected according to a predetermined standard from a plurality of visitors related to the sold vehicles.

  Next, in step S4, the observation behavior associated with each design-oriented person corresponding to the design-oriented person selected in the design-oriented person selection step from the product observation behavior stored in the visitor product observation behavior storage step. A design-oriented person observing behavior extracting step of reading out and a design-oriented person observing behavior storing step of storing the product observing behavior of the design-oriented person in association with each design-oriented person according to a predetermined standard. Also, in step S4, design emphasis is read out from the purchasing behavior stored in the visitor purchasing behavior storage step, corresponding to the design emphasizing person selected in the design emphasizing person selecting step, corresponding to each design emphasizing person. The person-in-person purchase behavior extracting step and the design-oriented person purchase behavior storing step of storing the design-oriented person's purchase behavior in association with each design-oriented person according to a predetermined standard are performed.

  In step S5, the correlation determination unit 28 obtains the correlation between the product observing behavior of the design-oriented person and the subsequent purchasing behavior, and the contribution of each observation behavior to the purchasing behavior, for example, the start of negotiations or contracts, etc. A correlation determination step is performed in which the degree of contribution, which is a magnitude, is quantified and obtained as a weight. That is, the degree of interest or the degree of contribution to the purchase probability corresponding to each purchased behavior is calculated for the sold vehicle that is the subject of the survey. For this purpose, the observation behavior stored in the design-oriented person observation behavior storage step is read for each design-oriented person, and the purchasing behavior stored in the design-oriented person purchase behavior storage process is read for each design-oriented person. From the observation behavior and the purchase behavior associated with each other, the degree of interest of the sold vehicle is weighted with respect to the observation behavior, and the correlation between the height of interest and the observation behavior is determined.

  For example, visitors who board a vehicle are N times more likely than visitors who did not get on the vehicle, and the probability of closing is higher. From the correlation between the observation behavior and the purchase behavior such as, the weight for the purchase behavior is obtained for each observation behavior pattern. In this case, a larger weight is set for an observation behavior pattern with a higher purchase probability. This weight is stored in the correlation storage unit 46 provided in the storage unit 20. Further, as shown in FIG. 9 as an example, it is known that the purchase probability increases as the degree of interest increases. For this reason, the purchase probability is determined in accordance with the degree of interest. The interest level can also be obtained as an interest degree index Fi (n) for the design obtained by the following equation (1).

Fi (n) = Ai · X01 + Bi · X02 + Ci · X03 + (1)
In the equation (1), Ai, Bi, Ci... Represent weights, and X01, X02, X03. In order to obtain such an interest level index Fi (n), for example, as shown in FIG. 10, for each of the visitor IDs P01, P02..., The observation behavior patterns X01, X02, X03 ..., corresponding to the visitor IDs P01, P02, P04, and P08 with a circle in FIG. 9, the observation behavior pattern value is set to be high corresponding to the level of interest These are marked with a circle in FIG. Then, the weights Ai, Bi, Ci,... Can be obtained with respect to the total number of circles (for example, 15) according to the height of the total number of circles of each observation behavior pattern.

  In addition, the correlation obtained by the correlation determination unit 28 represents what kind of behavior pattern the visitor has evaluated based on the premise of product purchase. In addition, purchase behavior may be canceled after seriously deciding the product, so it can be quantified including not only the result of whether or not the purchase has been made but also the behavior such as cancellation immediately before the purchase of the negotiation. .

  Next, in step S6 of FIG. 8, from the result of evaluating the vehicle by the evaluator at the evaluation site for the design of the new vehicle before sale, the evaluator's observation behavior is evaluated for each evaluator according to a predetermined criterion. An evaluator observation behavior storing step of identifying, associating, digitizing and storing is performed. The collection pattern of observation behavior in this case can be the same as in step S1. The obtained observation behavior is stored in the evaluator observation behavior storage unit 48 provided in the storage unit 20. It should be noted that it is preferable that the products displayed in the showroom and the products displayed in the evaluation venue have some relationship. For example, when the product is a vehicle, it is preferable that the types are the same to some extent for the types of vehicles such as for young women and for young men, for sports types, and family types.

  In the present embodiment, the computer 12 has been described as having the visitor observation behavior storage unit 38, the visitor purchase behavior storage unit 40, and the correlation determination unit 28. Correlation can be obtained, and the interest level and purchase probability can be estimated using the data. Further, the visitor observation behavior specifying means 54 and the evaluator observation behavior specifying means 58 can be configured by the same means.

  Next, in step S7 of FIG. 8, based on the weight obtained in step S5, from the observation behavior of each evaluator, as shown in FIG. 11, the degree of interest in the new vehicle that is the evaluation target of each evaluator, That is, the purchase probability estimation step is performed in which the seriousness is estimated by quantifying and the purchase probability is estimated from the interest level. That is, the purchase probability estimation step reads the observation behavior stored in the evaluator observation behavior storage step for each evaluator, and estimates the interest level of the new vehicle based on the correlation determined by the correlation determination step. Estimate purchase probability.

  Next, in step S8 in FIG. 8, an evaluation employer selection step for selecting a more appropriate evaluation employer for design evaluation based on the obtained purchase probability and data representing the high degree of interest, and evaluation adoption The evaluation result of the person is analyzed, and a design pass / fail judgment step for judging pass / fail of the design of the new vehicle is performed. In other words, the evaluation employer selection step receives an evaluation from the evaluator that the purchase probability estimate is equal to or higher than a predetermined threshold, for example, 50% or higher, that is, the interest level is equal to or higher than another predetermined threshold. Select an employer. For example, in the example shown in FIG. 11, the evaluators of P01A and P05A are selected as evaluation employers. Then, by evaluating the design of the evaluator including the evaluators of P01A and P05A, for example, by summing up the results of the quality, the design evaluation result of the new model vehicle is output to the output unit 18, that is, displayed.

  In addition, it is not provided with the design quality determination part 34 of FIG. 2, FIG. 3, and the design quality determination process, and only selecting the evaluation employer for the evaluator selection apparatus and the evaluator selection method of the present embodiment. It can also be used as a purpose. In addition, after selecting an evaluation employer, there is a design evaluation analysis unit that aggregates and analyzes not only the quality of the design but also the evaluation of individual elements such as which part of the design is good or bad It can also be.

  According to this embodiment, according to a predetermined standard, a design-oriented person who emphasizes a design is selected from a plurality of visitors, and the observation behavior and purchasing behavior for a sold vehicle for each design-oriented person are determined. , Determine the correlation between the high interest level of the sold vehicle and the observation behavior, and estimate the high interest level and purchase probability of the new vehicle from this correlation and the observation behavior of the evaluator. And an evaluation employer is selected from the evaluator based on the estimated purchase probability. For this reason, an evaluator close to a person who purchases a product with an emphasis on design can be selected as an evaluation employer. Therefore, it is possible to select a more suitable evaluation employer for design evaluation based on the observation behavior of people who place emphasis on the design, and evaluation when evaluating the design of the new model vehicle before selling the new model vehicle The accuracy can be improved. In addition, when a result desirable for evaluation cannot be obtained, it is possible to make a determination to appropriately improve and correct the design for the new vehicle.

  In the above embodiment, any processing can be realized by causing the processing unit 14 (FIG. 1) configured by the CPU to execute a computer program. In this case, the computer program can be provided by being stored in a storage medium, or can be provided by being transmitted through the Internet or other transmission media.

It is a block diagram which shows the evaluation investigation apparatus which is an evaluator selection apparatus of an example of embodiment of this invention. It is a block diagram which shows in detail the structure of the process part and memory | storage part which comprise the evaluation investigation apparatus of FIG. It is a figure which shows in detail the component of the process part of FIG. 2, and a memory | storage part by input-output relationship. It is a figure for demonstrating two examples of the visitor purchase emphasis point specific means which comprises the evaluation survey apparatus of FIG. It is a figure which shows the method of selecting a design important person from the purchase important point memorize | stored by the visitor purchase important point memory | storage part. It is a figure which shows the surrounding area where the product is arrange | positioned which is the object evaluated with the evaluation investigation apparatus of FIG. It is a figure which shows one example of a hardware structure of the evaluation investigation apparatus of FIG. It is a flowchart which shows the evaluation investigation method which is an evaluator selection method of one example of embodiment of this invention. It is a figure which shows an example of the purchase action and the observation action which were matched and memorize | stored for every visitor. It is a figure which shows an example of the method of calculating | requiring a correlation from purchase behavior and observation behavior. It is the figure which digitized the degree of interest (closeness to a purchaser) with respect to the target product of an evaluator.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 10 Evaluation investigation apparatus, 12 Computer, 14 Processing part, 16 Input part, 18 Output part, 20 Storage part, 22 Design-oriented person selection part, 24 Design-oriented person observation action extraction part, 26 Design-oriented person purchase action extraction part, 28 Correlation determination unit, 30 purchase probability estimation unit, 32 evaluation employer selection unit, 34 design quality determination unit, 36 visitor purchase emphasis point storage unit, 38 visitor observation behavior storage unit, 40 visitor purchase behavior storage unit, 42 design Emphasizing person observation behavior storage unit, 44 Design emphasis person purchasing behavior memory unit, 46 Correlation memory unit, 48 Evaluator observation behavior memory unit, 50 Evaluator design evaluation memory unit, 52 Visitor purchasing emphasis point specifying means, 54 Visitor observation Action specifying means, 56 Visitor purchase action specifying means, 58 Evaluator observation action specifying means, 60 Evaluator design evaluation specifying means, 62 Display unit, 64 Third computer 66 product information display unit, 68 a vehicle, 70 CPU, 72 ROM, 74 RAM, 76 bus, 78 input-output interface, 80 communication unit, 82 drive, 84 magnetic disk, 86 optical disk, 88 a flexible disk, 90 semiconductor memory.

Claims (12)

An evaluator selection device for selecting an evaluation adopter suitable for design evaluation of a new product or an intermediate product in the middle of development of a new product from a plurality of evaluators,
A design-oriented person selecting section that selects a design-oriented person who places importance on a design according to a predetermined standard from a plurality of survey subjects related to an existing product;
From the observation behavior for existing products for each design-oriented person and the purchase behavior for existing products for each design-oriented person, the high interest level of existing products is weighted to the observation behavior. A correlation determination unit for determining the correlation of
The interest level estimation unit that estimates the level of interest of the evaluator's new product or intermediate product based on the observation behavior of the new product or intermediate product for each evaluator and the correlation determined by the correlation determination unit. When,
From an evaluator, an evaluation employer selection unit that selects an evaluation employer whose estimated interest level is equal to or greater than a preset threshold ;
A design-oriented person observing behavior storage unit that stores the observation behavior of the design-oriented person with respect to the existing product according to a predetermined standard in association with each design-oriented person,
A design-oriented person purchase behavior storage unit that stores purchase behavior for existing products of design-oriented persons in association with each design-oriented person according to a predetermined standard;
An evaluator observation behavior storage unit that stores observation behavior of a plurality of evaluators on new products or intermediate products for each evaluator according to a predetermined criterion;
The correlation determination unit reads the observation behavior from the design-oriented person observation behavior storage unit for each design-oriented person, reads the purchasing behavior from the design-oriented person purchase behavior storage unit for each design-oriented person, and associates with each design-oriented person From the behavior and purchasing behavior associated with each design-oriented person, weight the interest level of the existing product to the observation behavior, determine the correlation between the interest level and the observation behavior,
The interest level estimation unit estimates the level of interest level of a new product or an intermediate product based on the observation behavior read from the evaluator observation behavior storage unit for each evaluator and the correlation determined by the correlation determination unit. An evaluator selection device characterized by estimating a value . In the evaluator selection device according to claim 1,
A survey subject observation behavior storage unit that stores observation behaviors for existing products of a plurality of survey subjects in association with each survey subject according to a predetermined criterion;
A survey subject purchase behavior storage unit that stores purchase behavior of existing products of a plurality of survey subjects in association with each survey subject according to a predetermined standard;
Design emphasis stored in the design-oriented person observing action storage unit, which reads out the observation behavior associated with each design-oriented person corresponding to the design-oriented person selected by the design-oriented person selecting part from the survey person observing action memory part A person observation behavior extraction unit;
Design emphasis to be read out from the purchase behavior storage section of the survey subject, and the purchase behavior corresponding to each design emphasis person corresponding to the design emphasis person selected by the design emphasis person selection section is read and stored in the design emphasis person purchasing action memory section An evaluator selection device comprising: an evaluator purchasing action extraction unit . In the evaluator selection device according to claim 1 or 2 ,
A purchase emphasis point storage unit that stores the purchase emphasis points of survey subjects for each survey subject,
The design-oriented person selecting section selects only those who are surveyed corresponding to the important points related to the design from among the investigation-oriented persons from among the shopping-oriented points stored in the purchasing-oriented point storage section. Characteristic evaluator selection device. In the evaluator selection device according to claim 3 ,
The purchase focus point storage unit is the survey subject who is determined based on at least one of the contents of the questionnaire for the survey subject's existing product and the display time of the specific information on the product information display unit that displays the existing product information. An evaluator selection device characterized by memorizing each important point . In evaluator selecting apparatus according to any one of claims 1 to 4,
The new product is a vehicle,
The plurality of observation behaviors stored by the design-oriented person observation behavior storage unit and the plurality of observation behaviors stored by the evaluator observation behavior storage unit are the same,
Furthermore, the plurality of observation behaviors include at least one behavior of whether or not a design-oriented person has opened or closed a vehicle door and whether or not the vehicle has entered the vehicle . In the evaluator selection device according to any one of claims 1 to 5,
It is provided with a design pass / fail judgment unit that judges the pass / fail of the design of the new product or intermediate product based on the evaluation of the design of the new product or intermediate product evaluated by the evaluation employer selected by the evaluation employer selection unit. Evaluator selection device. Evaluator comprising a design-oriented person selecting unit, a correlation determining unit, an interest level estimating unit, an evaluation adopter selecting unit, a design-oriented person observing behavior storage unit, a design-oriented person purchasing behavior storage unit, and an evaluator observing behavior storage unit An evaluator selection method for selecting an evaluation employer suitable for design evaluation of a new product or an intermediate product in the middle of development of a new product from a plurality of evaluators using a selection device,
  A process for selecting a design-oriented person who places importance on a design according to a predetermined standard from a plurality of survey subjects related to an existing product by the design-oriented person selection unit;
  The correlation determination unit weights the interest level of the existing product with respect to the observation behavior from the observation behavior for the existing product for each design-oriented person and the purchasing behavior for the existing product for each design-oriented person. Determining the correlation between height and observation behavior;
  The interest level estimation unit calculates the level of interest of the evaluator's new product or intermediate product based on the observation behavior of the new product or intermediate product for each evaluator and the correlation determined in the correlation determination process. Estimating process;
  By the evaluation employer selection unit, from the evaluator, a step of selecting an evaluation employer whose interest level height estimation value is equal to or greater than a preset threshold value;
  The design-oriented person observing behavior storage unit associates and stores the observation behavior of the design-oriented person with respect to the existing product according to a predetermined standard for each design-oriented person,
  The design-oriented person purchasing behavior storage unit associates and stores the purchasing behavior of the design-oriented person with respect to the existing product according to a predetermined standard for each design-oriented person,
  A step of storing, by the evaluator observation behavior storage unit, observation behaviors of a plurality of evaluators for new products or intermediate products for each evaluator according to a predetermined criterion,
  The step of determining the interrelationship by the correlation determination unit is to read the observation behavior stored in the design-oriented person observation behavior storage unit for each design-oriented person, and purchase stored in the design-oriented person purchase behavior storage unit for each design-oriented person Read out the behavior, weight the degree of interest of the existing products to the observation behavior based on the observation behavior associated with each design-oriented person and the purchasing behavior associated with each design-oriented person. And the correlation between observation behavior and
  The step of estimating the interest level height by the interest level estimation unit includes the observation behavior read from the observation behavior stored in the evaluator observation behavior storage unit for each evaluator and the correlation determined by the correlation determination unit. An evaluator selection method characterized by estimating an estimated value of interest level of a new product or intermediate product based on. In the evaluator selection method according to claim 7,
A process of storing observation behaviors of existing products of a plurality of survey subjects in association with each survey subject according to a predetermined standard by the survey subject observation behavior storage unit,
The process of storing the purchase behavior for the existing products of the plurality of survey subjects in association with each survey subject according to a predetermined standard by the survey subject purchase behavior storage unit;
The observation behavior associated with each design-oriented person corresponding to the design-oriented person selected by the design-oriented person selecting part by the design-oriented person observation behavior extracting part from the observation behavior stored in the survey target person observation behavior storage part A process of reading
Purchasing behavior associated with each design-oriented person corresponding to the design-oriented person selected by the design-oriented person selecting part by the design-oriented person purchasing action extracting part from the purchasing behavior stored in the survey subject purchasing behavior storage part A method for selecting an evaluator , comprising the step of: In the evaluator selection method according to claim 7 or claim 8,
The purchasing focus point storage unit has a process for storing the purchasing focus points of the survey subjects for each survey subject,
In the process of selecting a design-oriented person by the design-oriented person selecting section, only the investigation object corresponding to the important point related to the design among the purchase important points stored in the purchasing important point storage part is selected from the investigation object person. An evaluator selection method characterized by selecting as a design-oriented person . In the evaluator selection method according to claim 9,
The process of storing the purchase emphasis point by the purchase emphasis point storage unit is performed by at least one of the contents of the questionnaire for the existing product of the survey target person and the display time of the specific information of the product information display unit displaying the existing product information. An evaluator selection method characterized by memorizing important points for each survey subject determined based on the results. In the evaluator selection method according to any one of claims 7 to 10 ,
The new product is a vehicle,
The plurality of observation behaviors stored in the step of storing the observation behavior by the design-oriented person observation behavior storage unit and the plurality of observation behaviors stored in the step of storing the observation behavior by the evaluator observation behavior storage unit are the same Yes,
Further, the plurality of observation behaviors include at least one behavior of whether or not a design-oriented person has opened or closed a vehicle door and whether or not the vehicle has entered the vehicle . In the evaluator selection method according to any one of claims 7 to 11 ,
The design of the new product or intermediate product is determined by the design pass / fail judgment unit based on the evaluation of the design of the new product or intermediate product evaluated by the evaluation employer selected in the process of selecting the evaluation employer by the evaluation employer selection unit. The evaluator selection method characterized by including the process of determining pass / fail .

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